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组织学亚型对肾癌患者生存概率影响的综合分析:超弹性生存分析

A Comprehensive Analysis of the Effect of Histological Subtypes on the Survival Probability of Kidney Carcinoma Patients: A Hypertabastic Survival Analysis.

作者信息

Tabatabai Mohammad, Bailey Stephanie, Matthews-Juarez Patricia, Tabatabai Habib, Bahri Nader, Cooper Lyle, Wilus Derek, Singh Karan, Juarez Paul

机构信息

Meharry Medical College, Nashville, USA.

University of Wisconsin Milwaukee, Milwaukee, USA.

出版信息

J Ren Cancer. 2020;3(1):20-33. doi: 10.36959/896/604. Epub 2020 Dec 28.

Abstract

The purpose of this study is two-fold. First, to find out whether the histological subtypes can serve as an independent prognostic factor for kidney carcinoma; and second, whether it's role can be maintained when we control for confounders. Using National Cancer Institute data from 1975-2016, we have modeled the impact of histological subtypes on the survival probability of kidney carcinoma patients. A total of 134,150 individuals were examined from the Surveillance, Epidemiology, and End Results program (SEER) [1]. The study variables are age, race/ethnicity, sex, tumor grade, type of surgery, geographical location of patient and stage of disease. We have applied the Hypertabastic proportional hazards survival model [2-6] to analyze the survival time of patients diagnosed with kidney carcinoma in order to explore the effect of histological subtypes on their survival probability. In particular, our intention was to assess the relationship between the histological subtypes and tumor stage, grade, and type of surgery. Our results indicated that histology plays an important role both when used as the sole predictor in the survival model ( < 0.001), as well as when controlling for confounding variables ( < 0.001).

摘要

本研究的目的有两个。其一,探究组织学亚型是否可作为肾癌的独立预后因素;其二,在控制混杂因素时其作用是否依然存在。利用美国国立癌症研究所1975年至2016年的数据,我们对组织学亚型对肾癌患者生存概率的影响进行了建模。从监测、流行病学和最终结果项目(SEER)中总共检查了134,150个人[1]。研究变量包括年龄、种族/民族、性别、肿瘤分级、手术类型、患者地理位置和疾病分期。我们应用超弹性比例风险生存模型[2 - 6]来分析被诊断为肾癌患者的生存时间,以探究组织学亚型对其生存概率的影响。特别是,我们旨在评估组织学亚型与肿瘤分期、分级及手术类型之间的关系。我们的结果表明,组织学在作为生存模型中的唯一预测因素时(<0.001)以及在控制混杂变量时(<0.001)均发挥重要作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d92e/11500793/4a39dd5e69b4/nihms-2025945-f0001.jpg

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